白炳豐952221E260007

白炳豐952221E260007

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Unformatted text preview: NSC 2 ( ) RST is a mathematical tool powerful in dealing with information with vagueness and uncertainty. Recently, SVM has been successfully applied in solving various classification and prediction problems. The research is aimed at developing a data mining model that exploits the unique strength of the rough set theory (RST) and the support vector machines (SVM) model. The proposed model will be applied in different areas including the forecasting of stock index futures, exchange rates forecasting, electricity demand analysis, spam mail analysis, and medical data analysis. In addition, ant colony optimization (ACO) technique, immune algorithms (IA), and particle swarm optimization (PSO) technique are employed to determine two SVM parameters. It is shown that the combination of twp models (data preprocessing model and classification technique) can obtain better results than unique classification approach....
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This note was uploaded on 11/27/2009 for the course IM MA420 taught by Professor Mar,lee during the Spring '09 term at National Taiwan University.

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白炳豐952221E260007

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